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MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
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MASTER: Market-Guided Stock Transformer for Stock Price Forecasting (2024)MASTER: Market-Guided Stock Transformer f…Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction (2022)Temporal and Heterogeneous Gr…Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach (2021)Stock Selection via Spatiotem…Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (2020)Hierarchical Multi-Scale Gaus…Temporal Relational Ranking for Stock Prediction (2019)Temporal Relational Ranking f…Enhancing Stock Movement Prediction with Adversarial Training (2019)Enhancing Stock Movement Pred…MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU (2025)MCI-GRU: Stock prediction mod…TABLE: Time-aware Balanced Multi-view Learning for stock ranking (2024)TABLE: Time-aware Balanced Mu…Textual analysis of stock market prediction using breaking financial news (2009)Wikidata (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Transformer-based attention network for stock movement prediction (2022)A Random Walk Down Wall Street (1973)Size, value, and momentum in international stock returns (2012)A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction (2020)Stock market's price movement prediction with LSTM neural networks (2017)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts (2021)Stock market prediction using deep learning algorithms (2021)Deep reinforcement learning for stock portfolio optimization by connecting with modern portfolio theory (2023)The Sharpe Ratio (1994)On the network topology of variance decompositions: Measuring the connectedness of financial firms (2014)Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction (2021)Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph Via Dual Attention Networks (2022)Data-driven stock forecasting models based on neural networks: A review (2024)Evaluating multiple classifiers for stock price direction prediction (2015)Stock closing price prediction based on sentiment analysis and LSTM (2019)VGC-GAN: A multi-graph convolution adversarial network for stock price prediction (2023)Artificial intelligence techniques in financial trading: A systematic literature review (2024)Financial asset price prediction with graph neural network-based temporal deep learning models (2025)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Forecasting with artificial neural networks: (1998)Financial time series forecasting using support vector machines (2003)
this work references cited by second hop

References

  • 2019Temporal Relational Ranking for Stock Prediction551 cited
  • 2019Enhancing Stock Movement Prediction with Adversarial Training279 cited
  • 2020Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction231 cited
  • 2021Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach154 cited
  • 2022Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction134 cited

Cited by

  • 2024TABLE: Time-aware Balanced Multi-view Learning for stock ranking37 cited
  • 2025MCI-GRU: Stock prediction model based on multi-head cross-attention and improved GRU33 cited

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